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parts/gpu/README.md
@@ -37,6 +37,8 @@ The notebook presents a series of benchmarks comparing execution times across di
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- Uses `KernelAbstractions.jl` to write code that can run on both CPU and GPU.
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- Offers flexibility with performance close to the `CUDA.jl` implementation.
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+Here's the plot showing the benchmark results on a single A100 GPU in Perlmutter:
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### Key Takeaways
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